2013
DOI: 10.1080/02642069.2011.614340
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Knowledge management, organisational learning and memory in UK retail network planning

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Cited by 35 publications
(24 citation statements)
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“…Furthermore, these systems allow both consumers and retailers to easily communicate with each other, share comments on products and services, and collaborate in the creation of the service (highly facilitated by self-service systems) (Teixeira et al, 2012;Veryzer and Borja de Mozota, 2005). As a consequence, these systems also affect the way consumers interact with sellers and retailers (Gustafsson et al, 2012;Ko and Kincade, 2007;Leitner and Gretchenig, 2009;Wood and Reynolds, 2013). Their requests might be submitted directly through these technologies, which mediate all interactions (Pantano, 2014).…”
Section: Smart Retailing Versus Traditional Technology Management Appmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, these systems allow both consumers and retailers to easily communicate with each other, share comments on products and services, and collaborate in the creation of the service (highly facilitated by self-service systems) (Teixeira et al, 2012;Veryzer and Borja de Mozota, 2005). As a consequence, these systems also affect the way consumers interact with sellers and retailers (Gustafsson et al, 2012;Ko and Kincade, 2007;Leitner and Gretchenig, 2009;Wood and Reynolds, 2013). Their requests might be submitted directly through these technologies, which mediate all interactions (Pantano, 2014).…”
Section: Smart Retailing Versus Traditional Technology Management Appmentioning
confidence: 99%
“…Since the idea of smartness goes beyond the idea of intelligent application of new technologies by including more essential dimensions such as the organisational processes and selling activities (Pantano and Timmermans, 2014), the smart usage of technology can be easily extended to the retail process for the purpose of making it "smarter". Concerning the organisational process, smart technologies affect the methods of collecting data from consumers, managing information, transferring knowledge from firms to consumers and vice versa (Leitner and Grechenig, 2009;Wood and Reynolds, 2013), while (i) creating a sort of partnership with clients, who become active actors working in cooperation with retailers under the common goal of producing a more satisfying service, and (ii) pushing retailers to develop new capabilities for actively responding to changeable markets and successfully managing innovation (Kindstrom et al, 2013;Lin and Hong, 2008).…”
Section: Smart Retailing Versus Traditional Technology Management Appmentioning
confidence: 99%
“…Por tanto, conocer y manejar el umbral de saturación entre las diferentes tiendas se convierte en crucial para las empresas de distribución (Holmes, 2011). Así, se entiende que las principales cadenas de distribución agroalimentaria del Reino Unido dediquen considerables recursos a la planificación de la localización y la previsión de ventas de las futuras aperturas, con el objetivo de cuantificar el valor de las distintas ubicaciones antes de emprender cualquier acción de compra-venta (Wood y Reynolds, 2013).…”
Section: Marco Teóricounclassified
“…Of course, in addition to ensuring that location planning data and strategic recommendations are communicated clearly, legitimacy also rests on a continued focus upon accuracy. As we have argued elsewhere (Wood and Reynolds, 2011a;2011b), 'upskilling' analysts, maintaining intra-departmental best practice and continued reflection in the business of store forecasting are the cornerstones of building broader intra-firm reputation. This process also relies on analysts becoming adept at synthesising codified outputs from models and more observational insights from site visits for example that are not always easily modelled or quantified (see Wood and Reynolds, 2012).…”
Section: Understanding Disengagement and Identifying Potential Solutionsmentioning
confidence: 99%
“…In particular, Birkin et al (2010, p 442) underline the 'relatively limited success in the transfer of academic modelling technology into the real world' as the operationalisation of theoretical models into a practical context proves challenging. In part this stems from the blend of modelled and observed knowledge that constitutes practical store forecasting where there are factors that are difficult to integrate into models (Clarke et al, 2003;Wood and Reynolds, 2011b;2012). In other instances, catchment, population and expenditure data, particularly at a local level or in under-developed, overseas markets, may be unavailable which may shift the focus away from complex techniques to greater reliance on site visits and simpler forms of data collection and analysis to assess the admittedly more subjective locational attractiveness of a prospective store (Wood and Browne, 2007;Wood and Tasker, 2008;Wood and Reynolds, in press).…”
Section: Figure 1 About Here XXXmentioning
confidence: 99%